Characterization of 48 polymorphic loci as potential markers for the risk of ischemic stroke

With the aim to determine specific genetic characteristics of the population of Moscow region, we determined allele frequencies of 48 polymorphic loci (SNP) associated with the increased risk of ischemic stroke development. The genotype frequency distribution for all the SNPs corresponds to Hardy–Weinberg equilibrium. Comparison of the allele frequencies with those obtained for Caucasian populations from the databases dbSNP and 1000 Genomes Project revealed significant differences for two SNPs (rs556621 and rs556512) and seven SNPs (rs556621, rs556512, rs1801133, rs1799983, rs5918, rs328, and rs2398162), respectively. The revealed genetic features of the population make it possible to increase the accuracy and reliability of the individual genetic risk assessment of development for multifactorial diseases in the examined population.     

On the allelic spectrum of human disease

Human disease genes show enormous variation in their allelic spectra; that is, in the number and population frequency of the disease-predisposing alleles at the loci. For some genes, there are a few predominant disease alleles. For others, there is a wide range of disease alleles, each relatively rare. The allelic spectrum is important: disease genes with only a few deleterious alleles can be more readily identified and are more amenable to clinical testing. Here, we weave together strands from the human mutation and population genetics literature to provide a framework for understanding and predicting the allelic spectra of disease genes. The theory does a reasonable job for diseases where the genetic etiology is well understood. It also has bearing on the Common Disease/Common Variants (CD/CV) hypothesis, predicting that at loci where the total frequency of disease alleles is not too small, disease loci will have relatively simple spectra.     

Quantitative DNA pooling to increase the efficiency of linkage analysis in autosomal dominant disease

DNA pooling is an efficient method to rapidly perform genome-wide linkage scans in autosomal recessive diseases in inbred populations where affected individuals are likely to be homozygous for alleles near the disease gene locus. We wanted to examine whether this approach would detect linkage in autosomal dominant (AD) disorders where affected individuals may share one allele identical by descent at loci tightly linked to the disease. Two large outbred pedigrees in which the AD diseases familial venous malformation (FVM) and hereditary hemorrhagic telangiectasia (HHT1), linked to 9p and 9q, respectively, were investigated. Separate pools of DNA from affected (n = 21 for FVM and 17 for HHT1) and unaffected family members (n = 9 FVM and HHT1), and 25 unrelated population controls were established. Polymorphic markers spanning chromosome 9 at approximately 13.5-cM intervals were amplified using standard PCR. Allele quantitation was performed with a fluorimager. Visual inspection of allele intensities and frequency distributions suggested a shift in frequency of the most common allele in the affecteds lane when compared to control lanes for markers within 30 cM of the FVM and HHT1 loci. These subjective assessments were confirmed statistically by testing for the difference between two proportions (one-sided; P≤ 0.05). When using population controls, the true-positive rates for FVM and HHT1 were 5/5 and 2/5 markers, respectively. False-positive rates for FVM and HHT1 were 3/9 and 2/9, respectively. In both AD diseases investigated, quantitative DNA pooling detected shifts in allele frequency, thus identifying areas of known linkage in most cases. The utility of this technique depends on the size of the pedigree, frequency of the disease-associated allele in the population, and the choice of appropriate controls. Although the false-positive rate appears to be high, this approach still serves to reduce the amount of overall genotyping by about 60%. DNA pooling merits further investigation as a potential strategy in increasing the efficiency of genomic linkage scans. Received: 12 May 1997 / Accepted: 29 October 1997     

Apolipoprotein E polymorphism in Southern Iran: E4 allele in the lowest reported amounts

Background: Apolipoprotein E (apoE) with three major alleles E2, E3 and E4 is one of the critical genes in lipid metabolism. Common apoE alleles are in association with an increase in risk for central nervous and cardiovascular diseases such as Alzheimer’s disease, dementia, multiple sclerosis, atherosclerosis, coronary heart disease, hyperlipoproteinemia and stroke. ApoE3 is known as the most frequent allele in all populations, while association of apoE gene polymorphism with reported diseases have mostly been related to other two major alleles especially apoE4. Objective: To determine of apoE alleles frequencies in Southern Iran and comparison of those frequencies with other populations. Methods: DNA was extracted from the whole blood of 198 healthy unrelated candidates from population of Fars Province, Southern Iran, for apoE genotyping who were checked up by a physician. The frequencies of apoE alleles were compared with other populations by χ² test. Results: The frequencies of E2, E3 and E4 were 0.063, 0.886 and 0.051 respectively. These values were similar to those reported from populations of Kuwait, Oman, Lebanon, India, Turkey, Greece, Spain, Sardinia Islands of Italy and two Iranian populations but were different from South of Italy and Caucasians in other Europe regions, American, American-Indian, African, East Asian and Saudi populations (P < 0.05). Conclusion: The frequency of E4 allele as a genetic risk factor for some multifactorial diseases in the population of Southern Iran is in the lowest reported amounts in the world. Iranian population has Caucasoid origin but differs from some Caucasian populations in Europe and America. The results of present study are in agreement with the historical evidences which show admixture of Iranian population with other populations and some studies based on genetic polymorphisms in the population of Southern Iran.     

Population estimators or progeny tests: what is the best method to assess null allele frequencies at SSR loci?

Nuclear SSRs are notorious for having relatively high frequencies of null alleles, i.e. alleles that fail to amplify and are thus recessive and undetected in heterozygotes. In this paper, we compare two kinds of approaches for estimating null allele frequencies at seven nuclear microsatellite markers in three French Fagus sylvatica populations: (1) maximum likelihood methods that compare observed and expected homozygote frequencies in the population under the assumption of Hardy-Weinberg equilibrium and (2) direct null allele frequency estimates from progeny where parent genotypes are known. We show that null allele frequencies are high in F. sylvatica (7.0% on average with the population method, 5.1% with the progeny method), and that estimates are consistent between the two approaches, especially when the number of sampled maternal half-sib progeny arrays is large. With null allele frequencies ranging between 5% and 8% on average across loci, population genetic parameters such as genetic differentiation (F _ST) may be mostly unbiased. However, using markers with such average prevalence of null alleles (up to 15% for some loci) can be seriously misleading in fine scale population studies and parentage analysis.     

Using identity-by-descent information in affected sib pairs to increase the efficiency of genetic association studies.

The aim of this study was to determine whether identity-by-descent (IBD) information for affected sib pairs (ASPs) can be used to select a sample of cases for a genetic case-control study which will provide more power for detecting association with loci in a known linkage region. By modeling the expected frequency of the disease allele in ASPs showing IBD sharing of 0, 1, or 2 alleles, and considering additive, recessive, and dominant disease models, we show that cases selected from IBD 2 families are best for this purpose, followed by those selected from IBD 1 families; least useful are cases selected from IBD 0 families.     

Temporal changes in allele frequencies in two reciprocally selected maize populations

The effects of breeding on allele frequency changes at 82 restriction fragment length polymorphism (RFLP) loci were examined in two maize (Zea mays L.) populations undergoing reciprocal recurrent selection, Iowa Stiff Stalk Synthetic and Iowa Corn Borer Synthetic #1. After 12 cycles of selection, approximately 30% of the alleles were extinct and 10% near fixation in each population. A test of selective neutrality identified several loci in each population whose allele frequency changes cannot be explained by genetic drift; interpopulation mean expected heterozygosity increased for that subset of 28 loci but not for the remaining 54 loci. Mean expected heterozygosity within the two subpopulations decreased 39%, while the between-population component of genetic variation increased from 0.5% to 33.4% of the total. Effective population size is a key parameter for discerning allele frequency changes due to genetic drift versus those resulting from selection and genetic hitchhiking. Empirical estimates of effective population size for each population were within the range predicted by the breeding method. Received: 10 June 1998 / Accepted: 29 April 1999     

Accuracy of predicting the genetic risk of disease using a genome-wide approach

Background

The prediction of the genetic disease risk of an individual is a powerful public health tool. While predicting risk has been successful in diseases which follow simple Mendelian inheritance, it has proven challenging in complex diseases for which a large number of loci contribute to the genetic variance. The large numbers of single nucleotide polymorphisms now available provide new opportunities for predicting genetic risk of complex diseases with high accuracy.

Methodology/Principal Findings

We have derived simple deterministic formulae to predict the accuracy of predicted genetic risk from population or case control studies using a genome-wide approach and assuming a dichotomous disease phenotype with an underlying continuous liability. We show that the prediction equations are special cases of the more general problem of predicting the accuracy of estimates of genetic values of a continuous phenotype. Our predictive equations are responsive to all parameters that affect accuracy and they are independent of allele frequency and effect distributions. Deterministic prediction errors when tested by simulation were generally small. The common link among the expressions for accuracy is that they are best summarized as the product of the ratio of number of phenotypic records per number of risk loci and the observed heritability.

Conclusions/Significance

This study advances the understanding of the relative power of case control and population studies of disease. The predictions represent an upper bound of accuracy which may be achievable with improved effect estimation methods. The formulae derived will help researchers determine an appropriate sample size to attain a certain accuracy when predicting genetic risk.     

Molecular and genetic characterization of the allelic variants of Du215, Du281, Du323, and Du47G microsatellite loci in parthenogenetic lizard <Emphasis Type="Italic">Darevskia armeniaca</Emphasis> (Lacertidae)

A key issue in the study of unisexual (parthenogenetic) vertebrate species is the determination of their genetic and clonal diversity. In pursuing this aim, various markers of nuclear and mitochondrial genomes can be used. The most effective genetic markers include microsatellite DNA, characterized by high variability. The development and characterization of such markers is a necessary step in the genetic studies of parthenogenetic species. In the present study, using locus-specific PCR, for the first time, an analysis of allelic polymorphism of four microsatellite loci is performed in the populations of parthenogenetic species Darevskia armeniaca. In the studied populations, allelic variants of each locus are identified, and the nucleotide sequences of each allele are determined. It is demonstrated that allele differences are associated with the variation in the structure of microsatellite clusters and single nucleotide substitutions at fixed distances in flanking DNA regions. Structural allele variations form haplotype markers that are specific to each allele and are inherited from their parental bisexual species. It is established which of the parental alleles of each locus were inherited by the parthenogenetic species. The characteristics of the distribution and frequency of the alleles of microsatellite loci in the populations of D. armeniaca determining specific features of each population are obtained. The observed heterozygosity of the populations at the studied loci and the mutation rates in genome regions, as well as Nei’s genetic distances between the studied populations, are determined, and the phylogenetic relationships between them are established.     

Polymorphisms at VNTR loci suggest homogeneity of the white population of Utah

Apparent departure from equilibrium of genetic parameters measured for multiallelic single-locus markers such as VNTR (variable number of tandem repeat) loci has been suggested as evidence of underlying heterogeneity of the tested population. Using allele frequency distributions at eight VNTR loci from the white population of Utah, we show that the observed number of alleles and the gene diversity at each locus are congruent according to expectations of the neutral mutation model. This demonstrates the genetic homogeneity of the white population of Utah with reference to the allele (total and rare) frequency distribution at eight VNTR loci. The importance of such procedures is discussed in the context of using VNTR polymorphism data for forensic and medicolegal applications. Recommendations for reporting population data for hypervariable loci are also made to aid potential users in conducting similar analyses.     

Molecular Reclassification of Crohn’s Disease: A Cautionary Note on Population Stratification

Complex human diseases commonly differ in their phenotypic characteristics, e.g., Crohn’s disease (CD) patients are heterogeneous with regard to disease location and disease extent. The genetic susceptibility to Crohn’s disease is widely acknowledged and has been demonstrated by identification of over 100 CD associated genetic loci. However, relating CD subphenotypes to disease susceptible loci has proven to be a difficult task. In this paper we discuss the use of cluster analysis on genetic markers to identify genetic-based subgroups while taking into account possible confounding by population stratification. We show that it is highly relevant to consider the confounding nature of population stratification in order to avoid that detected clusters are strongly related to population groups instead of disease-specific groups. Therefore, we explain the use of principal components to correct for population stratification while clustering affected individuals into genetic-based subgroups. The principal components are obtained using 30 ancestry informative markers (AIM), and the first two PCs are determined to discriminate between continental origins of the affected individuals. Genotypes on 51 CD associated single nucleotide polymorphisms (SNPs) are used to perform latent class analysis, hierarchical and Partitioning Around Medoids (PAM) cluster analysis within a sample of affected individuals with and without the use of principal components to adjust for population stratification. It is seen that without correction for population stratification clusters seem to be influenced by population stratification while with correction clusters are unrelated to continental origin of individuals.     

The HLA‐B landscape of Africa: Signatures of pathogen‐driven selection and molecular identification of candidate alleles to malaria protection

Human leukocyte antigen (HLA) genes play a key role in the immune response to infectious diseases, some of which are highly prevalent in specific environments, like malaria in sub‐Saharan Africa. Former case–control studies showed that one particular HLA‐B allele, B*53, was associated with malaria protection in Gambia, but this hypothesis was not tested so far within a population genetics framework. In this study, our objective was to assess whether pathogen‐driven selection associated with malaria contributed to shape the HLA‐B genetic landscape of Africa. To that aim, we first typed the HLA‐A and ‐B loci in 484 individuals from 11 populations living in different environments across the Sahel, and we analysed these data together with those available for 29 other populations using several approaches including linear modelling on various genetic, geographic and environmental parameters. In addition to relevant signatures of populations’ demography and migrations history in the genetic differentiation patterns of both HLA‐A and ‐B loci, we found that the frequencies of three HLA alleles, B*53, B*78 and A*74, were significantly associated with Plasmodium falciparum malaria prevalence, suggesting their increase through pathogen‐driven selection in malaria‐endemic environments. The two HLA‐B alleles were further identified, by high‐throughput sequencing, as B*53:01:01 (in putative linkage disequilibrium with one HLA‐C allele, C*04:01:01:01) and B*78:01 in all but one individuals tested, making them appropriate candidates to malaria protection. These results highlight the role of environmental factors in the evolution of the HLA polymorphism and open key perspectives for functional studies focusing on HLA peptide‐binding properties.     

Temporal dynamics of genetic diversity of Japanese scallop <Emphasis Type="Italic">Mizuhopecten yessoensis</Emphasis> (Jay, 1856)

The season and age-related dependence of the distribution of the frequency of alleles and of five polymorphous loci have been studied for eight cultivated samples of the Japanese scallop M. yessoensis (Jay) from Alexeev Bay (Popov Island, Sea of Japan) using polyacrylamide gel electrophoresis The consistency of the frequency of alleles and of heterozygotes was revealed for samples with an age greater than one year independently of the season and age. Samples of the younger (11 months) mollusks can have reliable deviations of the frequency of allele and of heterozygotes. However, as the sample reaches a certain age, these genetic parameters correspond to values general to the whole population. The episodic influence of ecological factors on the younger age groups of mollusks is discussed.     

Detecting linkage for genetically heterogeneous diseases and detecting heterogeneity with linkage data.

Interest in searching for genetic linkage between diseases and marker loci has been greatly increased by the recent introduction of DNA polymorphisms. However, even for the most well-behaved Mendelian disorders, those with clear-cut mode of inheritance, complete penetrance, and no phenocopies, genetic heterogeneity may exist; that is, in the population there may be more than one locus that can determine the disease, and these loci may not be linked. In such cases, two questions arise: (1) What sample size is necessary to detect linkage for a genetically heterogeneous disease? (2) What sample size is necessary to detect heterogeneity given linkage between a disease and a marker locus? We have answered these questions for the most important types of matings under specified conditions: linkage phase known or unknown, number of alleles involved in the cross at the marker locus, and different numbers of affected and unaffected children. In general, the presence of heterogeneity increases the recombination value at which lod scores peak, by an amount that increases with the degree of heterogeneity. There is a corresponding increase in the number of families necessary to establish linkage. For the specific case of backcrosses between disease and marker loci with two alleles, linkage can be detected at recombination fractions up to 20% with reasonable numbers of families, even if only half the families carry the disease locus linked to the marker. The task is easier if more than two informative children are available or if phase is known. For recessive diseases, highly polymorphic markers with four different alleles in the parents greatly reduce the number of families required.     

Multifactorial diseases: a nightmare for the geneticist

Common diseases are often familial, but they do not show in most families, a simple pattern of inheritance. In a few families these diseases may be caused by a mutation in a single gene. In most families these diseases are multifactorial, they result from a complex interaction between a genetic component which is often polygenic and many environmental factors. Two major, model free, methods are used to locate and identify susceptibility genes that predispose to multifactorial diseases. The first is a non parametric linkage analysis that relies on affected sib pairs, or an affected pedigree member, the second method is association studies which looks for increase frequency of particular alleles or genotypes in affected compared with unaffected individuals in the population. Most of the results have not been replicated, identifying susceptibility genes is proving much more difficult than most geneticists imagined 20 years ago. The main reason for this irreproducibility is genetic heterogeneity.     

Mutation and polymorphism of the prion protein gene in Libyan Jews with Creutzfeldt-Jakob disease (CJD).

The inherited prion diseases are neurodegenerative disorders which are not only genetic but also transmissible. More than a dozen mutations in the prion protein gene that result in nonconservative amino acid substitutions segregate with the inherited prion diseases including familial Creutzfeldt-Jakob disease (CJD). In Israel, the incidence of CJD is about 1 case/10(4) Libyan Jews. A Lys200 substitution segregates with CJD and is reported here to be genetically linked to CJD with a lod score of > 4.8. Some healthy elderly Lys200 carriers > age 65 years were identified, suggesting the possibility of incomplete penetrance. In contrast, no linkage was found between the development of familial CJD and a polymorphism encoding either Met129 or Val129. All Libyan Jewish CJD patients with the Lys200 mutation encode a Met129 on the mutant allele. Homozygosity for Met129 did not correlate with age at disease onset or the duration of illness. The frequency of the Met129 allele was higher in the affected pedigrees than in a control population of Libyan Jews. The frequency of the Met129 and Val129 alleles in the control Libyan population was similar to that found in the general Caucasian population. The identification of three Libyan Jews homozygous for the Lys200 mutation suggests frequent intrafamilial marriages, a custom documented by genealogical investigations.     

利用17个微卫星标记分析鳙鱼的遗传多样性

选用本实验室克隆的17个鳙鱼微卫星分子标记分析四川泸州和江西鄱阳湖的两个种群鳙鱼的遗传多样性及种质特性,计算和统计了杂合度、多态信息含量（PIC）、有效等位基因数、等位基因频率、遗传距离、遗传相似系数、Hardy-Weinberg平衡偏离指数等方面内容。结果表明：选择使用17个微卫星标记,其中有4个为单态标记,13个为多态标记。江西和四川鳙鱼群体每个微卫星位点的平均等位基因数分别为3.325及3.882,平均有效等位基因数分别为3.531及2.676,多态位点百分率分别为82.4及70.5, 17个微卫星标记共有等位基因71个,多态微卫星位点的PIC在0.114~0.960之间变动,平均为0.417 ,两群体位点平均观测杂合度为0.385和0.452,平均期望杂合度为0.360和0.422,两个群体间的遗传相似系数为0.897,群体间的遗传距离为0.109。     

Genome imprinting and carcinogenesis

The preferential retention of paternal tumor suppressor alleles in sporadic tumors and the failure to demonstrate genetic linkage between disease predisposition and tumor suppressor loci in familial cases indicates that genome imprinting may be involved in the genesis of some pediatric cancers. A genetic model that invokes the activity of modifier loci (imprinting genes) on alleles to be modified (imprinted genes) is able to account for these data. Genome imprinting may be viewed as a special case of dominance modification, differing from other examples only in that the modification of dominance is dependent on gamete-of-origin. Data from human pediatric tumors, transgenes in the mouse and variegating position-effects in Drosophila, indicate that the net effect of modifier loci is the inactivation of alleles at affected loci. Polymorphism at the level of the modifier loci will result in different degrees of modification between individuals. With respect to tumors, the most important mechanism by which these differences are manifested is cellular mosaicism for the expression of a modified allele. Such characteristics are reminiscent of the behavior of variegating position-effects in Drosophila and the application of this paradigm to human disease phenotypes provides both a mechanism by which differential genome imprinting may be accomplished as well as genetic models that may explain the clinical association of syntenic diseases, the association between tumor progression and specific chromosomal aneuploidy and the unusual inheritance characteristics of many diseases.     

Antagonistic pleiotropy,mutation accumulation,and human genetic disease

The antagonistic pleiotropy theory of senescence is the most convincing theoretical explanation of the existence of aging. As yet, no locus or allele has been identified in a wild population with the features predicted by the pleiotropic theory. Human genetic diseases offer the opportunity to identify potentially pleiotropic alleles/loci. Four human genetic diseases—Huntington's disease, idiopathic hemochromatosis, myotonic dystrophy, and Alzheimer's disease—may exhibit pleiotropic effects and further study of these diseases might result in the identification of pleiotropic genes causing aging. Inability to find an early life selective benefit associated with these disease-causing alleles would favor the major alternative genetic explanation for aging, the mutation accumulation theory.     

Comparison of linkage-disequilibrium methods for localization of genes influencing quantitative traits in humans

Linkage disequilibrium has been used to help in the identification of genes predisposing to certain qualitative diseases. Although several linkage-disequilibrium tests have been developed for localization of genes influencing quantitative traits, these tests have not been thoroughly compared with one another. In this report we compare, under a variety of conditions, several different linkage-disequilibrium tests for identification of loci affecting quantitative traits. These tests use either single individuals or parent-child trios. When we compared tests with equal samples, we found that the truncated measured allele (TMA) test was the most powerful. The trait allele frequencies, the stringency of sample ascertainment, the number of marker alleles, and the linked genetic variance affected the power, but the presence of polygenes did not. When there were more than two trait alleles at a locus in the population, power to detect disequilibrium was greatly diminished. The presence of unlinked disequilibrium (D'*) increased the false-positive error rates of disequilibrium tests involving single individuals but did not affect the error rates of tests using family trios. The increase in error rates was affected by the stringency of selection, the trait allele frequency, and the linked genetic variance but not by polygenic factors. In an equilibrium population, the TMA test is most powerful, but, when adjusted for the presence of admixture, Allison test 3 becomes the most powerful whenever D'*>.15.